Siahaan, Jusuf Roni
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Optimizing HR Strategy Based on Dave Ulrich's Model to Improve Operational Efficiency in the Transportation Industry Saragih, Tiarmin; Siahaan, Jusuf Roni; Nugroho, Raihan Nasywa; Setyawati, Aswanti; Sihombing, Sarinah
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 5 (2025): Dinasti International Journal of Economics, Finance & Accounting (November - De
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i5.5050

Abstract

The transportation industry faces challenges in improving operational efficiency amid intense competition and regulatory changes. This study aims to analyze the application of the Dave Ulrich model in HR management strategies to improve the operational efficiency of transportation companies. This research uses a qualitative method with a case study approach in a transportation company. Data were collected through in-depth interviews with HR managers and employees, field observations, and document analysis of HR policies. Data analysis was conducted using the Miles and Huberman interactive model which includes data reduction, data presentation, and conclusion drawing. The results showed that an effective HR strategy can improve operational efficiency. Data-driven workforce planning improved resource allocation efficiency by 22%, while industry needs-based training improved employee competencies by 30%. HR digitization through HRIS reduced administrative time by 40%, and the implementation of performance-based incentives increased productivity by 25%. In addition, the retention strategy implemented successfully reduced the turnover rate by 15%. The findings confirm that the integration of HR roles into business strategy through data-driven and technology-driven approaches can improve a company's operational efficiency.
From Mine to Metropolis: A Systematic Review of Green Mining Innovations for Sustainable Urban Logistics Darwisman, Samuel; Purwanto, Heri; Nisa, Haerun; Siahaan, Jusuf Roni; Dermawan, Azizi
Dinasti International Journal of Education Management And Social Science Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (Decem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i2.6033

Abstract

Urban logistics contributes significantly to environmental degradation, challenging the achievement of Sustainable Development Goals. Concurrently, the green mining industry has developed robust technological innovations with potential applicability in urban contexts, yet this cross-sectoral knowledge transfer remains underexplored. This study aims to bridge this gap through a systematic literature review of 30 peer-reviewed articles to identify transferable technologies and the determinants influencing their implementation. The methodology followed the PRISMA guidelines, analyzing literature from Scopus and Web of ScienceĀ and assessing their quality using the CASP checklist. Results reveal three key transferable domains: (1) fleet electrification, (2) autonomous systems, and (3) circular economy models. Key enablers include policy incentives and long-term economic benefits, while high initial capital expenditure and regulatory uncertainty are primary barriers. The primary contribution of this research is a novel conceptual framework that provides an actionable roadmap for policymakers to accelerate the decarbonization of urban freight by leveraging proven industrial innovations. This study offers significant practical implications for enhancing urban sustainability.